{"id":"W3119538058","doi":"10.1161/strokeaha.120.032496","title":"Advancing Stroke Recovery Through Improved Articulation of Nonpharmacological Intervention Dose","year":2021,"lang":"en","type":"review","venue":"Stroke","topic":"Stroke Rehabilitation and Recovery","field":"Medicine","cited_by":74,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact; Université de Montréal","funders":"Canadian Institutes of Health Research","keywords":"Medicine; Terminology; Intervention (counseling); Conceptualization; Stroke (engine); Articulation (sociology); Medical physics; Nursing; Artificial intelligence; Computer science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.2098969,0.001764416,0.001961409,0.005591298,0.002714869,0.01324708,0.006197705,0.004061845,0.004317794],"category_scores_gemma":[0.2668338,0.001375062,0.003059637,0.003058804,0.01234325,0.01461458,0.01242426,0.007227226,0.001095248],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0138359,"about_ca_system_score_gemma":0.02963593,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00329851,"about_ca_topic_score_gemma":0.004031312,"domain_scores_codex":[0.7879088,0.1522139,0.02160612,0.009007455,0.02685974,0.00240401],"domain_scores_gemma":[0.7535198,0.1601907,0.02845751,0.02920605,0.02573093,0.002895012],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0005574427,0.0007944819,0.008895108,0.004360048,0.0002435206,0.0001684087,0.03172023,0.00818938,0.004701544,0.3837293,0.006669119,0.5499714],"study_design_scores_gemma":[0.0006794105,0.004271693,0.01683503,0.01578726,0.0008060939,0.0008163779,0.01305864,0.02287289,0.02401491,0.6691437,0.2309164,0.0007976894],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.02362901,0.004285917,0.8998532,0.02542974,0.0006868953,0.004559803,0.0005355728,0.001025494,0.03999433],"genre_scores_gemma":[0.2089036,0.002517272,0.7765354,0.003315562,0.0001907072,0.006176789,0.0002328822,0.0002451446,0.001882768],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.2098969,"threshold_uncertainty_score":0.9743378,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03930441217311465,"score_gpt":0.3867536068443519,"score_spread":0.3474491946712372,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}